Programming and Data Science for Architectural Engineering

Catalog description

The goal of this course is to provide students with fundamental knowledge of programming and data science so that it can be applied to a broad set of problems in architectural engineering. The course introduces students to programming concepts in Python, such as object oriented and functional programming as well as data science concepts, including exploratory data analysis and data visualization libraries that can be applied in Python, as well as similar applications available in spreadsheet tools. Basic topics related to statistics and optimization in architectural engineering applications are also included. During the final part of the course students will synthesize the topics they learned and apply them to AE CAD software and other tasks. This course provides a foundation for architectural engineering students to apply programming and data science techniques not only to challenges that exist today, but also to new challenges that will emerge as this field changes with time.